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Data logs: The latest evolution in Meta’s access tools

Engineering at Meta

Meta is always looking for ways to enhance its access tools in line with technological advances, and in February 2024 we began including data logs in the Download Your Information (DYI) tool. Data logs include things such as information about content you’ve viewed on Facebook. What are data logs?

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Strobelight: A profiling service built on open source technology

Engineering at Meta

But this can be many megabytes (or even gigabytes) in size because DWARF debug data contains much more than the symbol information. This data needs to be downloaded then parsed. Strobelight also delays symbolization until after profiling and stores raw data to disk to prevent memory thrash on the host.

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Mastering Batch Data Processing with Versatile Data Kit (VDK)

Towards Data Science

Extract and Load This phase includes VDK jobs calling the Europeana REST API to extract raw data. This operation is a batch process because it downloads data only once and does not require streamlining. Please note that you need a free API key to download data from Europeana. link] Summary Congratulations!

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Modern Data Engineering: Free Spark to Snowpark Migration Accelerator for Faster, Cheaper Pipelines in Snowflake

Snowflake

Ingestion Pipelines : Handling data from cloud storage and dealing with different formats can be efficiently managed with the accelerator. Feature Engineering : Creating and deriving features from raw data to enhance model performance in machine learning tasks is another area where the Snowpark Migration Accelerator excels.

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NVIDIA RAPIDS in Cloudera Machine Learning

Cloudera

For the code to work, the data in it’s CSV format should be placed into the data subfolder. The dataset can be downloaded from: [link]. Data Ingestion. The raw data is in a series of CSV files. Install the requirements from a terminal session with: “`code. pip install -r requirements.txt.

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New Fivetran connector streamlines data workflows for real-time insights

ThoughtSpot

And even when we manage to streamline the data workflow, those insights aren’t always accessible to users unfamiliar with antiquated business intelligence tools. That’s why ThoughtSpot and Fivetran are joining forces to decrease the amount of time, steps, and effort required to go from raw data to AI-powered insights.

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Building a Kimball dimensional model with dbt

dbt Developer Hub

The goal of dimensional modeling is to take raw data and transform it into Fact and Dimension tables that represent the business. Choose one, and download and install the database using one of the following links: Download DuckDB Download PostgreSQL You must have Python 3.8

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